2021
DOI: 10.1088/1572-9494/ac1938
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Variational quantum algorithms for trace norms and their applications

Abstract: The trace norm of matrices plays an important role in quantum information and quantum computing. How to quantify it in today's noisy intermediate scale quantum (NISQ) devices is a crucial task for information processing. In this paper, we present three variational quantum algorithms on NISQ devices to estimate the trace norms corresponding to different situations. Compared with the previous methods, our means greatly reduce the requirement for quantum resources. Numerical experiments are provided to illustrate… Show more

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Cited by 7 publications
(2 citation statements)
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“…In quantum information theory and quantum many-body systems, it is important to distinguish quantitatively two different states [1][2][3][4][5][6][7]. To differentiate two states with density matrices ρ and ρ , one may compare the expectations values of some specific local or nonlocal operator δ O = O ρ − O ρ .…”
Section: Introductionmentioning
confidence: 99%
“…In quantum information theory and quantum many-body systems, it is important to distinguish quantitatively two different states [1][2][3][4][5][6][7]. To differentiate two states with density matrices ρ and ρ , one may compare the expectations values of some specific local or nonlocal operator δ O = O ρ − O ρ .…”
Section: Introductionmentioning
confidence: 99%
“…Actually, if just consider the completeness, we can use a VQA technique shown in Ref. [52] after our second sub-algorithm. (ii) The complexity of our algorithm is less than the complexity of VQNPE, even without considering the complexity of the third sub-algorithm of VQNPE.…”
Section: The Total Complexity and Discussionmentioning
confidence: 99%